Evidence map›Paper›PMID 33566223›Full record

ArticleMolecular biology reports2021

Microsatellite characterization and development of unified STR panel for big cats in captivity: a case study from a Seoul Grand Park Zoo, Republic of Korea.

Puneet Pandey, Jee Yun Hyun, Mihyeon Yu, Hang Lee

Abstract read
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In one paragraph

Article in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Puneet Pandey *Conservation Genome Resource Bank for Korean Wildlife and Research Institute for Veterinary Science, Seoul National University College of Veterinary Medicine, 1 Gwanak-gu, Gwanak-ro, Seoul, Republic of Korea. puneet.pandey09@gmail.com.ORCID http://orcid.org/0000-0001-5891-3927
Jee Yun Hyun *Conservation Genome Resource Bank for Korean Wildlife and Research Institute for Veterinary Science, Seoul National University College of Veterinary Medicine, 1 Gwanak-gu, Gwanak-ro, Seoul, Republic of Korea.
Mihyeon YuSeoul Grand Park Zoo, Gwacheon-si, Gyeonggi-do, Republic of Korea.
Hang LeeConservation Genome Resource Bank for Korean Wildlife and Research Institute for Veterinary Science, Seoul National University College of Veterinary Medicine, 1 Gwanak-gu, Gwanak-ro, Seoul, Republic of Korea. hanglee@snu.ac.kr.
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The zoos manage small populations of endangered big cat species like tiger, lion, and leopard for display, research, and conservation breeding. Genetic management of these populations is essential to ensure long term survival and conservation utility. Here we propose a simple and cost effective microsatellite based protocol for the genetic management of captive big cats. We sampled 36 big cat individuals from Seoul Grand Park Zoo (Republic of Korea) and amplified 33 published microsatellite loci. Overall, allelic richness and gene diversity was found highest for leopards, followed by lions and tigers. Twelve of the thirty-three markers showed a high degree of polymorphism across all target species. These microsatellites provide a high degree of discrimination for tiger (1.45 × 10

Indexed as

Microsatellite RepeatsAllelesAnimalsAnimals, ZooDNA PrimersGenetic VariationGenotypeLionsPantheraPedigreePolymorphism, GeneticRepublic of KoreaSelective BreedingSeoulTigersDNA PrimersBig catsCaptive breedingGenetic characterizationMicrosatellite

Identifiers

PMID33566223
OpenAlexW3128585606

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.